An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling Shenbao Y u

Oct-10-2025, 18:36:22 GMT–Neural Information Processing Systems

By exploiting students' response logs, SCM aims to predict their exercise

artificial intelligence, data mining, machine learning, (20 more...)

Neural Information Processing Systems

Oct-10-2025, 18:36:22 GMT

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Country:
- Asia
  - China
    - Fujian Province > Xiamen (0.04)
    - Guangdong Province > Shenzhen (0.04)
    - Jiangxi Province (0.04)
  - Singapore > Central Region
    - Singapore (0.04)
- Europe
  - Finland > Central Finland
    - Jyväskylä (0.04)
  - United Kingdom > England
    - Cambridgeshire > Cambridge (0.04)
- North America > United States (0.14)

Genre:
- Research Report > Experimental Study (1.00)

Industry:
- Education > Educational Setting
  - K-12 Education (0.67)
  - Online (0.46)
- Information Technology (0.93)

Technology:
- Information Technology
  - Artificial Intelligence
    - Machine Learning
      - Neural Networks > Deep Learning (0.46)
      - Statistical Learning (0.92)
    - Representation & Reasoning (1.00)
  - Data Science > Data Mining (1.00)

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An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling Shenbao Y u

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